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Greeley [361]
3 years ago
5

A bicyclist rides the same number of miles every minute. The ratio table below shows the number of miles she rides during certai

n amounts of time.
Biking Times and Distances
Number of Minutes
Number of Miles
10
2.5
16
4
?
7.5
48
12

Which statement explains how to find the number of minutes it takes to bike 7.5 miles?
Find the ratio of minutes to miles, 4:1. Divide 7.5 by 4.
Find the ratio of minutes to miles, 4:1. Multiply 7.5 by 4.
Find the difference between 16 and 10. Add the difference to 16.
Find the difference between 16 and 10. Add the difference to 7.5.
Mathematics
2 answers:
zlopas [31]3 years ago
7 0

Answer:

Option B.

Step-by-step explanation:

A bicyclist rides the same number of miles in one minute.

Ratio table is given as

Number of minutes    Distances (miles)

       10                                   2.5

        16                                   4

        x                                    7.5

       48                                  12

We have to find the number of minutes taken by a biker to bike 7.5 miles

So the ratio between minutes to the distance biked will be = \frac{10}{2.5}=4:1

Now this ratio will be similar to the ratio = \frac{x}{7.5}=x:7.5

Now \frac{4}{1}=\frac{x}{7.5}

x = 7.5×4 = 30 minutes

Therefore, Option B will be the answer.

nika2105 [10]3 years ago
5 0

Answer:

B) Find the ratio of minutes to miles, 4:1. Multiply 7.5 by 4

Step-by-step explanation:

A bicyclist rides the same number of miles every minute. The ratio table below shows the number of miles she rides during certain amounts of time.

Biking Times and Distances        

Number of Minutes         Number of Miles

10                                             2.5

16                                              4

?                                              7.5

48                                              12

Which statement explains how to find the number of minutes it takes to bike 7.5 miles?

B) Find the ratio of minutes to miles, 4:1. Multiply 7.5 by 4....

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GarryVolchara [31]

Answer:

\mu_p -\sigma_p = 0.74-0.0219=0.718

\mu_p +\sigma_p = 0.74+0.0219=0.762

68% of the rates are expected to be betwen 0.718 and 0.762

\mu_p -2*\sigma_p = 0.74-2*0.0219=0.696

\mu_p +2*\sigma_p = 0.74+2*0.0219=0.784

95% of the rates are expected to be betwen 0.696 and 0.784

\mu_p -3*\sigma_p = 0.74-3*0.0219=0.674

\mu_p +3*\sigma_p = 0.74+3*0.0219=0.806

99.7% of the rates are expected to be betwen 0.674 and 0.806

Step-by-step explanation:

Check for conditions

For this case in order to use the normal distribution for this case or the 68-95-99.7% rule we need to satisfy 3 conditions:

a) Independence : we assume that the random sample of 400 students each student is independent from the other.

b) 10% condition: We assume that the sample size on this case 400 is less than 10% of the real population size.

c) np= 400*0.74= 296>10

n(1-p) = 400*(1-0.74)=104>10

So then we have all the conditions satisfied.

Solution to the problem

For this case we know that the distribution for the population proportion is given by:

p \sim N(p, \sqrt{\frac{p(1-p)}{n}})

So then:

\mu_p = 0.74

\sigma_p =\sqrt{\frac{0.74(1-0.74)}{400}}=0.0219

The empirical rule, also referred to as the three-sigma rule or 68-95-99.7 rule, is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ). Broken down, the empirical rule shows that 68% falls within the first standard deviation (µ ± σ), 95% within the first two standard deviations (µ ± 2σ), and 99.7% within the first three standard deviations (µ ± 3σ).

\mu_p -\sigma_p = 0.74-0.0219=0.718

\mu_p +\sigma_p = 0.74+0.0219=0.762

68% of the rates are expected to be betwen 0.718 and 0.762

\mu_p -2*\sigma_p = 0.74-2*0.0219=0.696

\mu_p +2*\sigma_p = 0.74+2*0.0219=0.784

95% of the rates are expected to be betwen 0.696 and 0.784

\mu_p -3*\sigma_p = 0.74-3*0.0219=0.674

\mu_p +3*\sigma_p = 0.74+3*0.0219=0.806

99.7% of the rates are expected to be betwen 0.674 and 0.806

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